Remote estimation of chlorophyll a in optically complex waters based on optical classification

Remote Sensing of Environment

Volumn 115, Issue 2, 2011, Pages 725-737

  Le, Chengfeng ^a   Li, Yunmei ^a   Zha, Yong ^a   Sun, Deyong ^a   Huang, Changchun ^a   Zhang, Hong ^a  

^a Nanjing Normal University   (China)

Author keywords

Chlorophyll a; Inland waters; Optical classification; Remote sensing

Indexed keywords

CASE 2 WATER; CHLOROPHYLL A; DATA SETS; ESTIMATION ALGORITHM; GREEN REGIONS; INLAND WATERS; MEAN RELATIVE ERROR; MODEL TUNING; NEAR INFRARED REGION; OPTICAL CLASSIFICATION; OPTIMAL POSITION; PHYTOPLANKTON CHLOROPHYLL; REFLECTANCE PEAKS; REFLECTANCE SPECTRUM; REMOTE ESTIMATION; REMOTE-SENSING REFLECTANCE; SEMI-ANALYTICAL ALGORITHMS; SPECTRAL SHAPES; TAIHU LAKES; THREE GORGES RESERVOIR; TURBID WATER;

ALGORITHMS; CHLOROPHYLL; CLASSIFICATION (OF INFORMATION); ESTIMATION; INFRARED DEVICES; LAKES; OPTIMIZATION; REFLECTION; REMOTE SENSING;

RESERVOIRS (WATER);

ALGORITHM; CALIBRATION; CHLOROPHYLL A; DATA SET; NEAR INFRARED; OPTICAL METHOD; PHYTOPLANKTON; REMOTE SENSING; SPECTRAL REFLECTANCE; TURBIDITY;

ANHUI; CHAOHU LAKE; CHINA; TAIHU LAKE; THREE GORGES RESERVOIR;

EID: 78650898210     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2010.10.014     Document Type: Article

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